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10.1038/s41598-021-86110-8 http://scihub22266oqcxt.onion/10.1038/s41598-021-86110-8 33762619!7990955!33762619     free     free     free Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 269.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 269.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Sci+Rep 2021 ; 11 (1): 6725 Nephropedia Template TP {{tp|p=33762619|t=2021. Mining of high throughput screening database reveals AP-1 and autophagy pathways as potential targets for COVID-19 therapeutics |pdf=|usr=}}{{33762619}} gab.com Text Mining of high throughput screening database reveals AP-1 and autophagy pathways as potential targets for COVID-19 therapeutics JO: Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=33762619 #FOAvip The recent global pandemic of the Coronavirus disease 2019 (COVID-19) caused by the new coronavirus SARS-CoV-2 presents an urgent need for the development of new therapeutic candidates. Many efforts have been devoted to screening existing drug libraries with the hope to repurpose approved drugs as potential treatments for COVID-19. However, the antiviral mechanisms of action of the drugs found active in these phenotypic screens remain largely unknown. In an effort to deconvolute the viral targets in pursuit of more effective anti-COVID-19 drug development, we mined our in-house database of approved drug screens against 994 assays and compared their activity profiles with the drug activity profile in a cytopathic effect (CPE) assay of SARS-CoV-2. We found that the autophagy and AP-1 signaling pathway activity profiles are significantly correlated with the anti-SARS-CoV-2 activity profile. In addition, a class of neurology/psychiatry drugs was found to be significantly enriched with anti-SARS-CoV-2 activity. Taken together, these results provide new insights into SARS-CoV-2 infection and potential targets for COVID-19 therapeutics, which can be further validated by in vivo animal studies and human clinical trials. Twit Text FOAVip Mining of high throughput screening database reveals AP-1 and autophagy pathways as potential targets for COVID-19 therapeutics ????Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=33762619 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33762619 #FOAvip English Wikipedia <ref>{{Cite pmid|33762619}}</ref> Mining of high throughput screening database reveals AP-1 and autophagy pathways as potential targets for COVID-19 therapeutics #MMPMID33762619 Zhu H; Chen CZ; Sakamuru S; Zhao J; Ngan DK; Simeonov A; Hall MD; Xia M; Zheng W; Huang R Sci Rep 2021[Mar]; 11 (1): 6725 PMID33762619show ga The recent global pandemic of the Coronavirus disease 2019 (COVID-19) caused by the new coronavirus SARS-CoV-2 presents an urgent need for the development of new therapeutic candidates. Many efforts have been devoted to screening existing drug libraries with the hope to repurpose approved drugs as potential treatments for COVID-19. However, the antiviral mechanisms of action of the drugs found active in these phenotypic screens remain largely unknown. In an effort to deconvolute the viral targets in pursuit of more effective anti-COVID-19 drug development, we mined our in-house database of approved drug screens against 994 assays and compared their activity profiles with the drug activity profile in a cytopathic effect (CPE) assay of SARS-CoV-2. We found that the autophagy and AP-1 signaling pathway activity profiles are significantly correlated with the anti-SARS-CoV-2 activity profile. In addition, a class of neurology/psychiatry drugs was found to be significantly enriched with anti-SARS-CoV-2 activity. Taken together, these results provide new insights into SARS-CoV-2 infection and potential targets for COVID-19 therapeutics, which can be further validated by in vivo animal studies and human clinical trials. |*COVID-19 Drug Treatment[MESH] |Animals[MESH] |Antiviral Agents/pharmacology[MESH] |Autophagy/drug effects/physiology[MESH] |COVID-19/epidemiology/genetics/*metabolism[MESH] |Chlorocebus aethiops[MESH] |Data Mining/*methods[MESH] |Databases, Genetic[MESH] |Drug Approval[MESH] |Drug Evaluation, Preclinical/methods[MESH] |Drug Repositioning/methods[MESH] |High-Throughput Nucleotide Sequencing/methods[MESH] |Humans[MESH] |Molecular Targeted Therapy[MESH] |Pandemics[MESH] |SARS-CoV-2/isolation & purification[MESH] |Transcription Factor AP-1/*metabolism[MESH]Mining of high throughput screening database reveals AP-1 and autophag(epmc).pdf DeepDyve Pubget Overpricing